Estimation of Mangrove biomass and carbon potential using allometric Equations: A case study in Sabuli Village, Metinaro, Timor-Leste
Więcej
Ukryj
1
Program Study of Marine Conservation, Faculty of Fisheries and Marine Science, Universitas Padjadjaran, Jawa Barat, Sumedang, Jatinangor 45363, Indonesia
2
Department of Marine Science, Faculty of Fisheries and Marine Science, Universitas Padjadjaran, Jatinangor, Sumedang, West Java 45363, Indonesia
3
Department of Fisheries, Faculty of Fisheries and Marine Science, Universitas Padjadjaran, Jatinangor, Sumedang, West Java 45363, Indonesia.
Autor do korespondencji
Norberto Gomes de Araujo
Program Study of Marine Conservation, Faculty of Fisheries and Marine Science, Universitas Padjadjaran, Jawa Barat, Sumedang, Jatinangor 45363, Indonesia
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
Mangrove ecosystems are vital blue carbon reservoirs that store biomass and carbon while supporting coastal protection, biodiversity, and local livelihoods. In Timor-Leste, empirical data on mangrove carbon stocks remain limited, creating a major gap for conservation planning and climate policy. This study provides the first site-specific baseline of mangrove biomass and carbon storage in Sabuli Village, Metinaro, and evaluates the reliability of diameter at breast height (DBH) as a predictor for carbon monitoring. Field surveys were conducted using stratified random sampling, with tree diameters measured at 1.3 m height. Biomass was estimated through standardized allometric models and partitioned into above-ground biomass (AGB) and below-ground biomass (BGB). Correlation and regression analyses were applied to test the predictive capacity of DBH for biomass carbon parameters. Results showed that Sabuli’s mangroves contained an average of 48 t ha-1 of total biomass, comprising 35 t ha-1 AGB (72.9%) and 13 t ha-1 BGB (27.1%). These values corresponded to 23 t C ha-1, equivalent to 84 t CO2e ha-1. DBH exhibited very strong correlations with all biomass–carbon pools (r > 0.96; R2 > 0.92), with the strongest regression observed between DBH and BGB (R2 = 0.94). The findings highlight DBH as a reliable, non-destructive, and cost-effective indicator for mangrove carbon estimation. While carbon values in Sabuli are modest compared to pristine sites, they provide an essential baseline for Timor-Leste, supporting conservation strategies, national climate commitments, and potential blue carbon initiatives.